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Shawn Kyzer, an innovative technologist with over 13 years of experience in data strategy, engineering, and analytics, will discuss how to scale machine learning with Data Mesh in this video. His deep technical knowledge includes distributed computing, cloud architecture, data science, and engineering analytics platforms. He is passionate about helping businesses uncover new opportunities by harnessing the power of data. In this video, Shawn emphasizes the importance of developing and motivating strong engineering talent and delivering outcomes while minimizing outputs.

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Key Topics:
0:00 – Introductions
0:25 – Context
1:40 – Use Case
3:58 – Feature Set Visualization
13:17 – What us Data Mesh?
17:15 – What is data as a product?
24:31 – Self-serve Infra
26:55 – Federated data governance
27:53 – Operating Model: Our Part of Heroes
38:31 – Conclusion

Related Blogs:
Highlights from the Data Engineering Summit Now Available On Demand: https://opendatascience.com/highlights-from-the-data-engineering-summit-now-available-on-demand/
A Day in the Life of a Data Engineer: https://opendatascience.com/a-day-in-the-life-of-a-data-engineer/
A Concrete Application of Topological Data Analysis: https://opendatascience.com/a-concrete-application-of-topological-data-analysis/
Training 175B Parameter Language Models at 1000 GPU Scale with Alpa and Ray: https://opendatascience.com/training-175b-parameter-language-models-at-1000-gpu-scale-with-alpa-and-ray/
Powering Millions of Real-Time Decisions with LyftLearn Serving: https://opendatascience.com/powering-millions-of-real-time-decisions-with-lyftlearn-serving/
Portrait Depth API: Turning a Single Image into a 3D Photo with TensorFlow.js: https://opendatascience.com/portrait-depth-api-turning-a-single-image-into-a-3d-photo-with-tensorflow-js/

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